The main aim of this paper, via the method of statistical data analysis, is to analyze the current situation of the shipping industry and policies of the shipping industry in Vietnam. Section 1 gives some key information about the current situation of the shipping industry in Vietnam such as: shipping companies and their fleets, seafarers and ports. In view of the many restrictions faced by the Vietnamese shipping industry, section 2 is used to disclose the policies issued by the Vietnamese government in order to help the domestic maritime industry develop further in the near future, and the outcomes of implementing these policies. Besides the fact that some of the measures were feasible and reasonable, some others were not as effective as they were supposed to be, or in fact the initial forecast of their effectiveness was far-fetched. In the last section, after analyzing reasons for the failures, the author proposes that focusing on coastal transportation routes, fleet and port restructuring and skilled labour training were truly necessary to the development of the industry in the immediate period. Furthermore, this paper is also expected to provide a basic foundation for further research by the authors about 'the strategical approach for the development of shipping industry in developing countries: a case of Vietnam' in the near future.

The maritime risk assessment is important not only to evaluate the safety level of the ports and waterways but also to reduce potential maritime accidents at sea in terms of the proactive measures of the maritime accidents. In this paper, the collision risk assessment in Mokpo waterways has been carried out based on the IALA recommended model, IWRAP. To evaluate the accident probabilities in Mokpo waterways, all data of vessels were collected from AIS and Radar observations data and the computer simulations were carried out. To assess the risk on the traffic, the scenario-base approach has been applied to the Mokpo waterway by using the maritime accident statics over the past 5 years.

The problem for parameters estimation of the received signals impinging on array sensors has long been of great research Interest in a great variety of applications, such as radar, sonar, and land mobile communications systems. Conventional subspace-based algorithms, such as MUSIC and ESPRIT, require an extensive computation of inverse matrix and eigen-decomposition In this paper, we propose a new parameters estimation algorithm via nonlinear minimization, which is simplified computationally and estimates signal parameters simultaneously.